Article Snapshot

• AI in advertising can be a useful advertising asset, but generating an image and designing an advertisement are two different jobs.
• Start with the audience, message, call to action and visual hierarchy first. The prompt should support the ad concept, not decide it for you.
• Brand risk increases when AI introduces clutter, distorted products, invented label details, incorrect logos or the obvious appearance that nobody reviewed the final image.
• A stronger workflow is to use AI for concepts, backgrounds or supporting visuals, then bring in real brand assets, accurate product imagery and controlled typography during the design stage.
• Before publishing, review the ad at the size people will actually see it, check the focal point and CTA, proofread every detail, and make sure the overall image does not create a misleading impression.

AI image generation has moved quickly from novelty to everyday advertising tool. Small businesses can now create glossy product scenes, dramatic campaign images and surreal concepts in seconds.

I have started noticing more of these appearing in social ads, and an array of negative comments to follow, possibly hurting the business.

This prompted me to make this post. Because the problem isn’t the AI use, it’s often the first generated image appears to have been treated as the finished advertisement.

Let’s dive in.

An AI Image Is Not a Polished Advertisement

An image can create a mood or stop someone scrolling, but an advertisement has a more demanding job, depending on your goal.

Don’t get me wrong, there is a time and place for AI images in advertising, but more careful planning still needs to be considered, along with proofreading and reviewing the final result.

An advertisement needs to communicate a specific message. A customer needs to understand the offer at a glance and feel pulled to click through.

This means that even though we can use AI to create an image, we still need to review it to make sure the main message, brand recognition and call to action are easily understood.

AI can help create the raw visual or idea, but it does not automatically know where text or words should be placed to best communicate with your audience.

Generating and designing are two different stages of the process.

Why One-Pass AI Ads Look Like Slop

Image generators are very good at filling space, and it’s good to create something that might make sense visually at a glance.

But when it comes to advertising design, there’s so much more that needs to be considered.

A one-pass AI image may contain several people, glowing effects, floating products, decorative text and a complicated background. The result looks busy because nothing has been given priority.

There’s also a chance for distorted product, elaborate brush strokes, invented label details, unreadable text, and incorrect logos. These errors usually suggest no one proof read this image long enough, it literally went from GPT to Meta, not good.

I have written more broadly about this problem in How to Use AI in Business Without Sounding Generic or Creating AI Slop. The same principle applies visually: prompt, review, refine and then bring human judgement back into the process.

Start With the Advertising Message

Before jumping into your favorite AI generating platform, think of your advertisement first.

I should disclose though, I am no advertising expert, but from my experience, you should at least be thinking of the below:

• Who is the advertisement for (target audience)
• What is the call to action? (CTA)
• What is the key messaging, or thing they need to understand?
• What should they look at first?
• Where will the ad appear?

If you cannot answer those questions, AI is probably not going to answer them for you when it makes the image.

The intended layout/messaging should shape the generated image. If the headline sits on the left, ask for negative space there. If the product is the hero, do not surround it with five competing objects. For mobile ads, generate and review the image at a small scale.

Use AI to Create an Asset, Then Design the Ad

AI works better when it contributes one part of the advertisement rather than attempting the entire layout.

Use it to create a background, texture, location, supporting character or unusual concept. Generate several variations, choose the clearest composition and bring it into proper design software.

This is actually something I do often, particularly when I want a subtle, relevant background layer or texture. I also use AI quite often for rapid idea prompts, it’s very good for this.

Once I have what I need, or the idea/concept, I’ll add in the real logo, product images, typography, and then move things around further. This gives you full control over hierarchy, and prevents AI from doing it and making it look like a complete mess.

You also need to make sure the products in the ad are accurate. If an ad needs to show exact packaging, colour, ingredients or scale, genuine product photography will usually be a stronger foundation.

A Quick Check Before You Publish

Before approving an AI-assisted ad, reduce it to the size at which people will actually see it and ask maybe just a few of these questions:

1. Will people look at this and notice immediately it’s AI slop? (if so, do not post it.)
2. Is the main message clear within two seconds?
3. Is there one obvious focal point (main header, and easy visual hierarchy)
4. Is it just overall not too cluttered and easy to understand the offering?
5. Are the logo, product and important details accurate?
6. Is the call to action easy to find?
7. Have I checked faces, hands, reflections, labels and background objects?
8. Could any part of the image create a misleading impression?

The #1 and #8 have bookended this list, because they’re pretty important. #1 is just a big no no, get it off the internet. #8 keeps you safe legally im health, wellness and product advertising. Australian businesses remain responsible for avoiding false or misleading representations, regardless of how an image was produced (Australian Competition and Consumer Commission, n.d.).

Use AI to Speed Up The Process

AI can make concept exploration faster, help small brands test directions and create visuals that would otherwise require complex production.

It’s an absolutely fantastic tool, if used correctly, because speed is not clarity.

Good AI-assisted advertising still involves art direction, selection, editing and design. It may take ten generations to find one useful asset, followed by a separate layout process.

Use AI to expand the possibilities. Then slow down long enough to decide what deserves to represent your business.

What am I trying to say here? Well, while it’s great experimenting with AI-generated visuals, please always consider using a designer or marketing expert to help you get it right.

I can help with creative direction, graphic design, campaign assets and branding systems. I also offer a low cost retainer or even provide a FREE quote if budget is tight.

Frequently Asked Questions (FAQs)

Can I use AI-generated images in advertising?

Yes, AI-generated imagery can be used as part of advertising, and platforms such as Google Ads now provide their own generative image tools. You still need to check the terms of the tool you use, advertising platform requirements and any relevant local regulations. More importantly, the finished ad is still your responsibility.

Are AI-generated images bad for your brand?

Not automatically. The risk comes when the image looks generic, inaccurate, cluttered or obviously unreviewed. AI can be useful for concepts and supporting visuals, but the final result still needs to look and feel like your brand rather than something produced from a generic prompt.

Should I use AI to create the whole advertisement?

Usually, I’d use AI to create an asset rather than the finished ad. Generate a background, scene, concept or supporting visual, then bring your real logo, typography, product photography, messaging and CTA into the design separately. That gives you much more control over hierarchy and brand consistency.

Do I need to disclose that an advertisement uses AI-generated images?

This increasingly depends on the platform, location and type of advertising. Google, for example, now provides AI-content labelling tools and notes that some jurisdictions require disclosures for certain AI-generated or edited advertising assets. So this is an area businesses should check rather than assuming one rule applies everywhere.

Can an AI-generated image create misleading advertising?

Absolutely. In Australia, advertising images and descriptions can create a misleading impression just as written claims can. If AI changes the apparent size, packaging, ingredients, results, features or capabilities of a product, that could become a problem. The ACCC specifically includes images and descriptions among the information businesses must ensure is accurate and truthful.

References

• Australian Competition and Consumer Commission. (n.d.). False or misleading claims.